Viewing profile — mippie_moe

RTX A6000 has more VRAM than any other GPU types currently offered by public cloud providers AFAIK.

Lambda engineer here (I'm one of the authors). As bubblethink already mentioned, the article is arguing that batch processing jobs (e.g. those characteristic of Deep Learning) don'…

Hi, Lambda engineer here (I'm one of the authors). You bring up some good points, I'd like to address some of them: Admin: Time (and cost) it takes to install software, drivers, et…

Lambda Labs engineer here. Here's what we're trying to argue: Many benefits of running infrastructure in the cloud are lost for offline batch processing jobs. Training machine lear…

I’ll talk to the team!

Thanks for the positive feedback! Our company used to run a cluster of ~1000 gpu servers for inference and training. We used caffe and torch. Provisioning and software maintenance …

My company (Lambda Labs) made it possible to install cuda, cudnn, tensorflow, pytorch, and other deep learning frameworks with one line: https://lambdalabs.com/lambda-stack-deep-le…

Yes!

No offense taken! Dreamscope doesn't actually make money :) It's a little under break even. It brings in revenue through a $9.99/mo premium subscription, which gives customers high…

With this setup, you get one GPU that runs with 16 lanes (and as you mentioned, three that run with 8). Bottleneck depends on the workload. If you're training a small/fast network,…